9709/61

Mathematics 9709/61October/November 2019

Cambridge AS Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme

7
questions
50
marks
75
minutes

Topics Discrete Random Variables · Probability · Representation of Data · Permutations and Combinations · The Normal Distribution

Q13MProbabilityFree sample

When Shona goes to college she either catches the bus with probability 0.8 or she cycles with probability 0.2. If she catches the bus, the probability that she is late is 0.4. If she cycles, the probability that she is late is xx. The probability that Shona is not late for college on a randomly chosen day is 0.63. Find the value of xx.

DifficultyMedium-Easy
Worked solution

Approach

Let BB be the event that Shona catches the bus, CC the event that she cycles, and NN the event that she is not late. Since P(LB)=0.4P(L|B)=0.4, the probability she is not late given that she catches the bus is P(NB)=0.6P(N|B)=0.6. Since P(LC)=xP(L|C)=x, the probability she is not late given that she cycles is P(NC)=1xP(N|C)=1-x. Use the law of total probability: the probability of not being late is the sum of the probabilities of the two mutually exclusive ways of reaching college and not being late.

Working

P(N)=P(B)P(NB)+P(C)P(NC)P(N) = P(B)P(N|B) + P(C)P(N|C) P(N)=0.8×0.6+0.2(1x)P(N) = 0.8 \times 0.6 + 0.2(1-x)

Since P(N)=0.63P(N)=0.63, form the equation:

0.8×0.6+0.2(1x)=0.630.8 \times 0.6 + 0.2(1-x) = 0.63

Simplify and solve:

0.48+0.20.2x=0.630.48 + 0.2 - 0.2x = 0.63 0.680.2x=0.630.68 - 0.2x = 0.63 0.2x=0.050.2x = 0.05 x=0.25x = 0.25

Answer

x=0.25x = 0.25
Final answer

x = 0.25

Detailed explanation

Walkthrough

Shona has two possible ways to get to college: bus or cycle. These two ways are mutually exclusive, so the total probability of her not being late is the sum of the probability that she takes the bus and is not late plus the probability that she cycles and is not late.

For each way, multiply the probability of choosing that way by the conditional probability of not being late given that way. If she catches the bus, the chance she is late is 0.40.4, so the chance she is not late is 0.60.6. If she cycles, the chance she is late is xx, so the chance she is not late is 1x1-x.

This gives the equation 0.8×0.6+0.2(1x)=0.630.8 \times 0.6 + 0.2(1-x) = 0.63. Expand and solve: 0.48+0.20.2x=0.630.48 + 0.2 - 0.2x = 0.63, so 0.680.2x=0.630.68 - 0.2x = 0.63, giving 0.2x=0.050.2x = 0.05 and x=0.25x = 0.25.

Key Takeaways

This question uses the law of total probability: if events partition the sample space, the overall probability is the sum of the probabilities of each branch. It also uses complementary probabilities: the probability of not being late is 11 minus the probability of being late for each mode of travel.

Common Mistakes

  • Using 0.40.4 as the probability of not being late when catching the bus. The complement must be used: 10.4=0.61 - 0.4 = 0.6.
  • Forgetting that if the probability of being late when cycling is xx, then the probability of not being late when cycling is 1x1-x.
  • Making a sign error when expanding 0.2(1x)0.2(1-x); it becomes 0.20.2x0.2 - 0.2x, not 0.2+0.2x0.2 + 0.2x.
  • Not writing the equation 0.8×0.6+0.2(1x)=0.630.8 \times 0.6 + 0.2(1-x) = 0.63; the mark scheme requires the equation to be shown for method marks.

Things to Be Careful About

  • The value of xx must be a probability, so it must lie between 00 and 11. Here x=0.25x = 0.25 is valid.
  • Check which probability the question gives: it is the probability of not being late (0.630.63), so the equation should use the not-late branches, not the late branches.
  • An alternative valid equation uses the late branches: 0.8×0.4+0.2x=10.63=0.370.8 \times 0.4 + 0.2x = 1 - 0.63 = 0.37. Both approaches lead to the same answer.
Techniques used
apply the law of total probabilityuse complementary probabilitiessolve a linear equation

The rest of this paper

6 more questions
  • Q2Discrete Random Variables6M
  • Q3Representation of Data7M
  • Q4Discrete Random Variables · Probability7M
  • Q5Representation of Data8M
  • Q6Permutations and Combinations9M
  • Q7The Normal Distribution · Discrete Random Variables10M
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